In November 2016, I am at Big Data Spain in Madrid for the first time. A great conference with many awesome speakers and sessions about very hot topics such as Apache Hadoop, Spark Spark, Streaming Processing / Streaming Analytics and Machine Learning. If you are interested in big data, then this conference is for you! My two talks:

In November 2016, I attended Devoxx conference in Casablanca. Around 1500 developers participated. A great event with many awesome speakers and sessions. Hot topics this year besides Java: Open Source Frameworks, Microservices (of course!), Internet of Things (including IoT Integration), Blockchain, Serverless Architectures.

I had three talks:

How to Apply Machine Learning to Real Time Processing

Comparison of Open Source IoT Integration Frameworks

Tools in Action – Live Demo of Open Source Project Flogo

In addition, I was interviewed by the Voxxed team about Big Data, Machine Learning and Internet of Things. The video will be posted on Voxxed website in the next weeks.

In October 2016, the open source IoT integration framework Flogo was published as first developer preview. This blog post is intended to give a first overview about Flogo. You can either browse through the slide deck or watch the videos.

What is Project Flogo?

In short, Flogo is an ultra-lightweight integration framework powered by Go programming language. It is open source under the permissive BSD license and easily extendable for your own use cases. Flogo is used to develop IoT edge apps or cloud-native / serverless microservices. Therefore, it is complementary to other integration solutions and IoT cloud platforms.

I had two sessions at O’Reilly Software Architecture Conference in London in October 2016. It is the first #OReillySACon in London. A very good organized conference with plenty of great speakers and sessions. I can really recommend this conference and its siblings in other cities such as San Francisco or New York if you want to learn about good software architectures and new concepts, best practices and technologies. Some of the hot topics this year besides microservices are DevOps, serverless architectures and big data analytics respectively machine learning.

I had two sessions at O’Reilly Software Architecture Conference in London in October 2016. It is the first #OReillySACon in London. A very good organized conference with plenty of great speakers and sessions. I can really recommend this conference and its siblings in other cities such as San Francisco or New York if you want to learn about good software architectures and new concepts, best practices and technologies. Some of the hot topics this year besides microservices are DevOps, serverless architectures and big data analytics.

I want to share the slide of my session about comparing open source frameworks, SaaS and Enterprise products regarding log analytics for distributed microservices:

Like every year, I attended JavaOne (part of Oracle World) in San Francisco in late September 2016. This is still one of the biggest conferences around the world for technical experts like developers and architects.

I planned to write a blog posts about new trends from the program, exhibition and chats with other attendees. Though, I can make it short: Besides focus on Java platform updates (Java 9, Java EE 8, etc.), I saw three hot topics which are highly related to each other: Microservices, Docker and Cloud. It felt like 80% of non-Java talks were about these three topics. The other 20% were Internet of Things (IoT), DevOps and some other stuff. Middleware was also a hot topic. Not always directly, but I was in several talks focusing on integration, orchestration of microservices, (IoT) gateways.

The IT world is moving forward rapidly. The digital transformation changes complete industries and peels away existing business models. Cloud services, mobile devices, and the Internet of Things establish wild spaghetti architectures through different departments and lines of business. Several different concepts, technologies, and deployment options are used. A single integration backbone is not sufficient in this era anymore.

The IT world is moving forward fast. The digital transformation changes complete industries and peels away existing business models. Cloud services, mobile devices and the Internet of Things establish wild spaghetti architectures though different departments and lines of business. Several different concepts, technologies and deployment options are used. A single integration backbone is not sufficient anymore in this era of integration. Therefore, a Hybrid Integration Architecture is getting the new default in most enterprises.

Different user roles need to leverage different tools to integrate applications, services and APIs for their specific need. A key for success is that all integration and business services work together across different platforms in a hybrid world with on premise and cloud deployments.

Visual Analytics and Data Discovery allow analysis of big data sets to find insights and valuable information. This is much more than just classical Business Intelligence (BI). See this article for more details and motivation: “Using Visual Analytics to Make Better Decisions: the Death Pill Example“. Let’s take a look at important characteristics to choose the right tool for your use cases.

Visual Analytics Tool Comparison and Evaluation

Several tools are available on the market for Visual Analytics and Data Discovery. Three of the most well known options are Tableau, Qlik and TIBCO Spotfire. Use the following list to compare and evaluate different tools to make the right decision for your project:

TIBCO ActiveMatrix BusinessWorks 6 is a modern integration and service delivery platform ready for modern concepts such Mobile, Cloud, Internet of Things or Microservices. This article is no introduction to integration and service delivery platforms in general, but focuses on differentiators of BusinessWorks 6 compared to other integration solutions available on the market. If you want to see a general introduction to TIBCO ActiveMatrix BusinessWorks 6, explaining its basic concepts and capabilities such as: